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Energy-Efficient Task Consolidation for Cloud Data Center

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  • Sudhansu Shekhar Patra

    (School of Computer Application, KIIT University, Bhubaneswar, India)

Abstract

Energy saving in a Cloud Computing environment is a multidimensional challenge, which can directly decrease the in-use costs and carbon dioxide emission, while raising the system consistency. The process of maximizing the cloud computing resource utilization which brings many benefits such as better use of resources, rationalization of maintenance, IT service customization, QoS and reliable services, etc., is known as task consolidation. This article suggests the energy saving with task consolidation, by minimizing the number of unused resources in a cloud computing environment. In this article, various task consolidation algorithms such as MinIncreaseinEnergy, MaxUtilECTC, NoIdleMachineECTC, and NoIdleMachineMaxUtil are presented aims to optimize energy consumption of cloud data center. The outcomes have shown that the suggested algorithms surpass the existing ECTC and FCFSMaxUtil, MaxMaxUtil algorithms in terms of the CPU utilization and energy consumption.

Suggested Citation

  • Sudhansu Shekhar Patra, 2018. "Energy-Efficient Task Consolidation for Cloud Data Center," International Journal of Cloud Applications and Computing (IJCAC), IGI Global, vol. 8(1), pages 117-142, January.
    • Handle: RePEc:igg:jcac00:v:8:y:2018:i:1:p:117-142
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